meta-heuristic algorithms to solve the problem of terminal facilities on a real scale

Iranian Journal of Optimization

دوره 14، شماره 1، خرداد 2022، صفحه 51-65   

نوع مقاله: Research Paper

نویسندگان

mehdi fazli¹؛ farzin modarres khiabani^{* 1}؛ behrooz daneshian²

¹1Department of Mathematics, Islamic Azad University, Tabriz Branch, Tabriz, Iran

²Islamic Azad University, South Tehran Branch

چکیده

a b s t r a c t

Our main goal in this article is to arrange terminal facilities, place different departments, stores and units in predefined areas in such a way as to minimize the cost of moving customers and transportation staff. Especially in large-scale terminals with several different transport segments, it is important for terminal performance to be close to interactive units. Today, meta-heuristic methods are often used to solve optimization problems such as facility design. in this study; The design of the various units, stores, and rooms of a large-scale real terminal was organized using three meta-heuristic algorithms: Migratory Bird Optimization (MBO), Taboo Search (TS), and Simulated Simulation (SA). The results were compared with the existing terminal design. As a result, MBO and SA metaheuristic algorithms have provided the best results, which improve the efficiency of the existing terminal design to an acceptable level.

کلیدواژه‌ها

Terminal facility layout problem؛ Migrating birds optimization؛ Optimization problem؛ Tabu search؛ Simulated annealing

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